Nullkas

Disclaimer: These are just notes I'll use for references for future projects, or if any is interested to see my notes on Generative Models What is a generative model? A gen erative model, is a model for randomly generated data, aka observable data. When given some hidden parameters, it can create a probability distribution over observation and label sequences, Some cases a distribution can be created from a generative model through Baye's rule. Baye's rule   In probability theory and statistics,  Bayes '  theorem (alternatively  Bayes ' law or  Bayes '  rule ) describes the probability of an event, based on prior knowledge of conditions that might be related to the event.   Source:  https://en.wikipedia.org/wiki/Bayes%27_theorem There are a few types of Generative models (Source:  https://en.wikipedia.org/wiki/Generative_model ) Gaussian mixture model  and other types of  mixture model Hidden Markov model P...

While browsing articles related to Machine Learning, I have found something quite interesting from the Computer Science Department of Stanford University called " Evaluating Reading Comprehension Systems ". The following information compiled in this post is information taken from reliable sources which I will provide links to if you are interested in reading the full version. This post is simply meant to explain what " Reading Comprehension Systems " are in a simple matter. What is Reading Comprehension Systems? Reading Comprehension, also known as RC are systems designed to understand a given text and return answers as a response to questions about the text. Example: (Source:  https://nlp.stanford.edu/pubs/jia2017adversarial.pdf ) When you give the system this Article Article:  Super Bowl 50   Paragraph:  “ Peyton Manning became the first quarterback ever to lead two different teams to multiple Super Bowls. He is also the oldest quarterback ever to pl...